From f0ff08685a887d6466e88ff04f8ecedc785cad86 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Wed, 20 Apr 2016 15:07:18 -0800 Subject: [PATCH] Update ops-related pbtxt files. Change: 120387174 --- .../core/ops/compat/ops_history.v0.pbtxt | 294 ++++++++++++++++++ tensorflow/core/ops/ops.pbtxt | 24 ++ 2 files changed, 318 insertions(+) diff --git a/tensorflow/core/ops/compat/ops_history.v0.pbtxt b/tensorflow/core/ops/compat/ops_history.v0.pbtxt index 56956b246cb..b471d96f8fc 100644 --- a/tensorflow/core/ops/compat/ops_history.v0.pbtxt +++ b/tensorflow/core/ops/compat/ops_history.v0.pbtxt @@ -383,6 +383,47 @@ op { } } } +op { + name: "AdjustContrast" + input_arg { + name: "images" + type_attr: "T" + } + input_arg { + name: "contrast_factor" + type: DT_FLOAT + } + input_arg { + name: "min_value" + type: DT_FLOAT + } + input_arg { + name: "max_value" + type: DT_FLOAT + } + output_arg { + name: "output" + type: DT_FLOAT + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_UINT8 + type: DT_INT8 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_FLOAT + type: DT_DOUBLE + } + } + } + deprecation { + version: 2 + } +} op { name: "AdjustContrastv2" input_arg { @@ -3656,6 +3697,66 @@ op { type: "bool" } } +op { + name: "BatchNormWithGlobalNormalization" + input_arg { + name: "t" + type_attr: "T" + } + input_arg { + name: "m" + type_attr: "T" + } + input_arg { + name: "v" + type_attr: "T" + } + input_arg { + name: "beta" + type_attr: "T" + } + input_arg { + name: "gamma" + type_attr: "T" + } + output_arg { + name: "result" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "variance_epsilon" + type: "float" + } + attr { + name: "scale_after_normalization" + type: "bool" + } + deprecation { + version: 9 + } +} op { name: "BatchNormWithGlobalNormalizationGrad" input_arg { @@ -3942,6 +4043,82 @@ op { type: "bool" } } +op { + name: "BatchNormWithGlobalNormalizationGrad" + input_arg { + name: "t" + type_attr: "T" + } + input_arg { + name: "m" + type_attr: "T" + } + input_arg { + name: "v" + type_attr: "T" + } + input_arg { + name: "gamma" + type_attr: "T" + } + input_arg { + name: "backprop" + type_attr: "T" + } + output_arg { + name: "dx" + type_attr: "T" + } + output_arg { + name: "dm" + type_attr: "T" + } + output_arg { + name: "dv" + type_attr: "T" + } + output_arg { + name: "db" + type_attr: "T" + } + output_arg { + name: "dg" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT64 + type: DT_INT32 + type: DT_UINT8 + type: DT_UINT16 + type: DT_INT16 + type: DT_INT8 + type: DT_COMPLEX64 + type: DT_COMPLEX128 + type: DT_QINT8 + type: DT_QUINT8 + type: DT_QINT32 + type: DT_HALF + } + } + } + attr { + name: "variance_epsilon" + type: "float" + } + attr { + name: "scale_after_normalization" + type: "bool" + } + deprecation { + version: 9 + } +} op { name: "BatchSelfAdjointEig" input_arg { @@ -11855,6 +12032,54 @@ op { } is_stateful: true } +op { + name: "RandomCrop" + input_arg { + name: "image" + type_attr: "T" + } + input_arg { + name: "size" + type: DT_INT64 + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_UINT8 + type: DT_INT8 + type: DT_INT16 + type: DT_INT32 + type: DT_INT64 + type: DT_FLOAT + type: DT_DOUBLE + } + } + } + attr { + name: "seed" + type: "int" + default_value { + i: 0 + } + } + attr { + name: "seed2" + type: "int" + default_value { + i: 0 + } + } + deprecation { + version: 8 + } + is_stateful: true +} op { name: "RandomShuffle" input_arg { @@ -18823,6 +19048,28 @@ op { type: "type" } } +op { + name: "TileGrad" + input_arg { + name: "input" + type_attr: "T" + } + input_arg { + name: "multiples" + type: DT_INT32 + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + deprecation { + version: 3 + } +} op { name: "TopK" input_arg { @@ -19031,6 +19278,53 @@ op { } } } +op { + name: "TopK" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "values" + type_attr: "T" + } + output_arg { + name: "indices" + type: DT_INT32 + } + attr { + name: "k" + type: "int" + has_minimum: true + } + attr { + name: "sorted" + type: "bool" + default_value { + b: true + } + } + attr { + name: "T" + type: "type" + allowed_values { + list { + type: DT_FLOAT + type: DT_DOUBLE + type: DT_INT32 + type: DT_INT64 + type: DT_UINT8 + type: DT_INT16 + type: DT_INT8 + type: DT_UINT16 + type: DT_HALF + } + } + } + deprecation { + version: 7 + } +} op { name: "TopKV2" input_arg { diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt index fca9fa69b4c..da0039e2e0a 100644 --- a/tensorflow/core/ops/ops.pbtxt +++ b/tensorflow/core/ops/ops.pbtxt @@ -154,6 +154,10 @@ op { } } summary: "Deprecated. Disallowed in GraphDef version >= 2." + deprecation { + version: 2 + explanation: "Use AdjustContrastv2 instead" + } } op { name: "AdjustContrastv2" @@ -1681,6 +1685,10 @@ op { } summary: "Batch normalization." description: "This op is deprecated. Prefer `tf.nn.batch_normalization`." + deprecation { + version: 9 + explanation: "Use tf.nn.batch_normalization()" + } } op { name: "BatchNormWithGlobalNormalizationGrad" @@ -1768,6 +1776,10 @@ op { } summary: "Gradients for batch normalization." description: "This op is deprecated. See `tf.nn.batch_normalization`." + deprecation { + version: 9 + explanation: "Use tf.nn.batch_normalization()" + } } op { name: "BatchSelfAdjointEig" @@ -7370,6 +7382,10 @@ op { } summary: "Randomly crop `image`." description: "`size` is a 1-D int64 tensor with 2 elements representing the crop height and\nwidth. The values must be non negative.\n\nThis Op picks a random location in `image` and crops a `height` by `width`\nrectangle from that location. The random location is picked so the cropped\narea will fit inside the original image." + deprecation { + version: 8 + explanation: "Random crop is now pure Python" + } is_stateful: true } op { @@ -11925,6 +11941,10 @@ op { } summary: "Returns the gradient of `Tile`." description: "Since `Tile` takes an input and repeats the input `multiples` times\nalong each dimension, `TileGrad` takes in `multiples` and aggregates\neach repeated tile of `input` into `output`." + deprecation { + version: 3 + explanation: "TileGrad has been replaced with reduce_sum" + } } op { name: "TopK" @@ -11976,6 +11996,10 @@ op { } summary: "Finds values and indices of the `k` largest elements for the last dimension." description: "If the input is a vector (rank-1), finds the `k` largest entries in the vector\nand outputs their values and indices as vectors. Thus `values[j]` is the\n`j`-th largest entry in `input`, and its index is `indices[j]`.\n\nFor matrices (resp. higher rank input), computes the top `k` entries in each\nrow (resp. vector along the last dimension). Thus,\n\n values.shape = indices.shape = input.shape[:-1] + [k]\n\nIf two elements are equal, the lower-index element appears first.\n\nIf `k` varies dynamically, use `TopKV2` below." + deprecation { + version: 7 + explanation: "Use TopKV2 instead" + } } op { name: "TopKV2"